This paper formulates dynamic density functions, based upon skewed-t and similar representations, to model and forecast electricity price spreads between different hours of the day. This supports an optimal day ahead storage and discharge schedule, and thereby facilitates a bidding strategy for...

This paper deals with the parameter estimation of popular GARCH(1,1) model using an effective hybrid evolutionary computation (EC) based method. These parameters are estimated by maximizing the nonlinear log-likelihood function. Further, in this study, the effectiveness of the EC based methods...